WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Engineer

New York, Inc.
Alpharetta, GA, United States
5 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Unix Data Validation Extract Transform Load (ETL) Data Mining Data Warehousing Python (Programming Language) Release Management SQL Databases Informatica Powercenter Data Pipelines

Job description

We are looking for a highly experienced Data Engineer with strong expertise in Informatica PowerCenter/IICS and ETL development to support enterprise data integration and pipeline initiatives.

Requirements

Strong 12+ years of experience in Informatica (PowerCenter/IICS) and ETL development with hands-on expertise in data extraction, transformation, and loading processes.

Good to have Python skill

Ability to design, develop and optimize complex ETL workflows, mappings, and data pipelines with focus on performance and data quality

Hands-on experience in SQL, Unix, and data warehousing concepts (fact/dimension models)

Expertise in data validation, testing, and ensuring accuracy between source and target systems

Experience in release management, production support, and issue resolution for ETL pipelines

Strong communication, leadership, and problem-solving skills with ability to drive delivery independently

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:03 min

Microsoft integrating native Unix coreutils into Windows environments

Chris Heilmann Chris Heilmann +2 · LIVE

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:04 min

Defining timestamps and the international standard format

Denny Biasiolli Denny Biasiolli · Europe 2026 Virtual

Videos

See all
Data Science on Software Data thumbnail
48:10
World Congress 2021 • about 5 years ago

Data Science on Software Data

Markus Harrer

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

WeAreDevelopers LIVE - Node and Package Security thumbnail
1:08:30
LIVE • about 2 months ago

WeAreDevelopers LIVE - Node and Package Security

Chris Heilmann, Daniel Cranney, Zbyszek Tenerowicz

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone thumbnail
27:27
World Congress 2026 Europe • 3 months ago

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone

Daniël van Eeden, Mattias Jonsson

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
World Congress 2025 • about 1 year ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Related articles

See all